How do you ensure label/annotation quality in a data pipeline?

Models are only as good as their labels, and noisy annotation silently caps performance. The signal interviewers want is a measured quality process, not a louder collection effort. Here is the answer.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.